Technology

  One of the biggest myths surrounding the IT world is that only big companies like Facebook and Amazon can make big decisions from big data. However, this isn’t true as a company with the smallest budget can exploit the vast opportunities of data collection and analysis varying from targeting potential data streams, to using the various cloud services. Gathering and Filtering the Right Data The current generation enterprises despite their sizes and types are burdened with humongous amount of data quantity more than ever. This unfurls chaos along with the advantages as the data needs to be prioritized and filtered befitting your business’s surging demands. Keep that in mind that in order to yield the greatest data insight, big data does not necessarily have to process every available data as it will not only incur extra cost but also will be a total waste of time and resources. For startups and small-scale companies, one must hone in on data streams to accomplish various business o...

  Artificial intelligence and big data are such technologies that have spread their roots to almost every industry. Now think both these strong digital technologies amalgamated together; well this is what big guns like IBM, Facebook, and Google are doing to keep their businesses invincible. Facebook deploys advanced algorithms to generate automatic photo tagging options along with relevant story recommendations in tandem with what the user has searched, liked, and commented. And, this is just one jaw-dropping example of AI and analytics when integrated with each other. As social media and other online portals are on their epitome of success, they are churning out a humongous amount of data. This much data comes with unraveling opportunities and ideas that create a new world of technological advancements. Here are 4 top ways AI and analytics trends to watch for in 2021: Conversational User Interface (UI) Conversational UI is a future talk for now after pre-fed and template chatbots....

With half the year gone, the year 2020 is expected to witness a sharp rise in the adoption of Artificial Intelligence (AI) in sectors other than just scientific sectors. Areas where huge monetary numbers are at play every day needs to be more protected and made robust enough to not fall prey to any financial treachery. Adoption of AI in fintech is therefore, aimed at improving the accuracy, personalisation of payment, lending services, and insurance services along with unveiling new borrower pools. It is interesting to point out that some fintech companies have incorporated AI into their structures already for some time now as financial firms were the early adopters of mainframe computer, relational databases, and has always been at the forefront to espouse next level computational power. Fintech is among the fastest-growing industries, owing to the increasing penetration of internet users. The emergence of digital payment solutions has resulted in a paradigm shift in the usage of mo...